Mathematics with Integrated Foundation Year
Royal Holloway, University of London
Entry requirements
A level: CCC-CCD (Required subjects: A-level Mathematics We require English and Mathematics GCSE at grade 4(C) T-levels We accept T-levels for admission to our undergraduate courses, with the following grades regarded as equivalent to our standard A-level requirements: AAA* – Distinction (A* on the core and distinction in the occupational specialism) AAA – Distinction BBB – Merit CCC – Pass (C or above on the core) DDD – Pass (D or E on the core) Where a course specifies subject-specific requirements at A-level, T-level applicants are likely to be asked to offer this A-level alongside their T-level studies.) IB: 24 points overall including 4 HL Maths: Analysis & Approaches or 5 HL Maths: Applications & Interpretation
About this course
BSc in Mathematics with Integrated Foundation Year, building a broad scientific base before progressing to advanced mathematical study. Core topics include Programming, Statistics, and Mathematical Modelling. After completing the foundation year, students progress to the full BSc Mathematics degree. An optional placement year is available, which may be spent studying abroad, working, or carrying out voluntary work.
Modules
- Foundation Programming
- Foundation Physical Sciences I
- Foundation Mathematics I
- Foundation Physical Sciences II
- Engineering Society
- Foundation Mathematics II
- Introduction to Geometry
- Introduction to Applied Mathematics
- Statistical Methods 1
- Calculus I
- Calculus II
- Introduction to Pure Mathematics
- Linear Algebra I
- Real Analysis I
- Probability Theory
- Scientific Programming
- Linear Algebra II
- Vector Calculus
- Statistical Methods 2
- Ordinary Differential Equations and Fourier Analysis
- Ring Theory
- Advanced Skills in Mathematics
- Mathematics Project
- Mathematics in the Classroom
- Number Theory
- Quantum Theory 1
- Non-Linear Dynamic Systems
- Combinatorics
- Cipher Systems
- Group Theory
- Topology
- Markov Chains and Applications
- Introduction to Optimisation
- Inference
- Financial Mathematics I
- Financial Mathematics II
- Game Theory
- Quantum Information and Coding